| Vol-2764 urn:nbn:de:0074-2764-1 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ASAIL 2020
Automated Semantic Analysis of Information in Legal Text

### Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text
held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems​ (JURIX 2020)

### December 9, 2020.

Edited by

### Kevin D. Ashley, University of Pittsburgh, USA
Katie Atkinson, University of Liverpool, UK
L. Karl Branting, MITRE Corporation, USA
Enrico Francesconi, Italian National Research Council (IGSG-CNR) and European Parliament
Matthias Grabmair, SINC GmbH, Germany
Vern R. Walker, Maurice A. Deane School of Law at Hofstra University, USA
Bernhard Waltl, BMW Group AG, Germany
Adam Zachary Wyner, Swansea University, UK

## Table of Contents

- Preface
  Summary: There were 7 papers submitted for peer-review to this workshop. All 7 papers were accepted for this volume, 6 as regular papers and 1 as a short paper.

### Session 1

- Classification of German Court Rulings: Detecting the Area of Law
  Ingo Glaser, Florian Matthes
- Legal Language Modeling with Transformers
  Lazar Peric, Stefan Mijic, Dominik Stammbach, Elliott Ash
- Topic Modelling of the Czech Supreme Court Decisions
  Tereza Novotna, Jakub Harasta, Jakub Kol
- Predictive Features of Persuasive Legal Texts
  Karl Branting, Elizabeth Tippett, Charlotte Alexander, Sam Bayer, Paul Morawski, Carlos Balhana, Craig Pfeifer

### Session 2

- Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data
  Jaromir Savelka, Hannes Westermann, Karim Benyekhlef
- Automating the Classification of Finding Sentences for Linguistic Polarity
  Vern R. Walker, Stephen R. Strong, Vern E. Walker
- Learning to Rank Sentences for Explaining Statutory Terms
  Jaromir Savelka, Kevin D. Ashley

2020-12-06: submitted by Matthias Grabmair, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|